#!/bin/bash
#  '3DCNN': _3DCNN,
#               '2DCNN': _2DCNN,
#               'Hami': HamidaEtAl,
#               '3DCNN_AM': _3DCNN_AM,
#               'SAE': SAE,
#               'PURE1DCNN': PURE1DCNN,
#               'PURE2DCNN': PURE2DCNN,
#               'Lee': LeeEtAl,
#               'PURE3DCNN': PURE3DCNN,
#               'DBDA': DBDA_network,
#               'PURE3DCNN_2AM': PURE3DCNN_2AM,
#               '1DCNN': _1DCNN,
#               'DUALPATH': _3DCNN_1DCNN,
#               'SSRN': SSRN_network,
#               'DIS_MODEL': dismodel,
#               'NDIS_MODEL': NViT,
#               'NNDIS_MODEL':NNViT,
#               'danfengViT': hongViT,
#               'SimpledanfengViT': hongViT(mode='ViT')}
# CUDA_VISIBLE_DEVICES=4 \
# python train.py  \
#  --train_number 0.05 \
#  --valid_number 0.05 \SPA_SPE_Transformer
#  --test_number 0.9 \
#  --modelname DBDA \
#  --gpu_ids -1 &

# python train.py  \
#  --train_number 0.05 \
#  --valid_number 0.01 \
#  --test_number 0.94 \
#  --modelname PURE2DCNN\
#  --loadbestmodel 0 \
#  --gpu_num 1 \
#  --gpu_ids -1 

#  --depth 7 \
 
python train.py  \
 --train_number 0.05 \
 --valid_number 0.01 \
 --test_number 0.94 \
 --modelname SimpledanfengViT \
 --loadbestmodel 0 \
 --gpu_num 1 \
 --gpu_ids -1  

 
